adolfoguimaraes/machinelearning

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This collection of tutorials helps individuals learn and practice fundamental machine learning concepts and techniques. It provides guided examples and exercises covering supervised and unsupervised learning, as well as an introduction to TensorFlow. You'll put in raw datasets and get out trained models and insights into data patterns. This resource is ideal for students or self-learners keen on understanding how machine learning algorithms work.

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Use this if you are a student or an individual looking for structured, hands-on learning material to grasp the basics of machine learning.

Not ideal if you are an experienced machine learning engineer seeking advanced techniques or a complete, production-ready solution.

data-science-education machine-learning-fundamentals predictive-modeling data-clustering deep-learning-basics
Stale 6m No Package No Dependents
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Jupyter Notebook

License

MIT

Last pushed

Nov 10, 2017

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